plot_olden: Plotting Olden Values Barplot

In MLwrap: Machine Learning Modelling for Everyone

Plotting Olden Values Barplot

Description

The plot_olden() function generates specialized bar plots for visualizing Olden method results, which provide importance measures specific to neural networks based on connection weight analysis. This method offers insights into how input variables influence predictions through the network's synaptic connections.

Usage

plot_olden(analysis_object, show_table = FALSE)

Arguments

analysis_object	Fitted analysis_object with 'sensitivity_analysis(methods = "Olden")'.
show_table	Boolean. Whether to print Olden results table.

Value

analysis_object

Examples

# Note: For obtaining the Olden plot the user needs to complete till sensitivity_analysis( )
# function of the MLwrap pipeline using the Olden method.

if (requireNamespace("torch", quietly = TRUE)) {

  

  wrap_object <- preprocessing(df = sim_data,
                             formula = psych_well ~ depression + emot_intel + resilience,
                             task = "regression")
  wrap_object <- build_model(wrap_object, "Neural Network")
  wrap_object <- fine_tuning(wrap_object, "Bayesian Optimization")
  wrap_object <- sensitivity_analysis(wrap_object, methods = "Olden")

  # And then, you can obtain the Olden plot.

  plot_olden(wrap_object)

  

}

MLwrap documentation built on Aug. 8, 2025, 6:43 p.m.